Exploration of the rapid conversion technical method between the third provincial land survey classification data and land-use & sea-use classification data
In order to realize a wide range of conversion between the classification data of the third provincial land survey and the classification data of land-use & sea-use,deep learning technology and manual visual interpretation method are adopted,the differences between the second class of the third national land survey classification and the second class of land-use & sea-use classification are compared according to the table of the connection between the third national land survey classification and the land-use & sea-use classification of territorial spatial planning in this paper.Firstly,this paper analyzes the mapping relationship of land classes,studies the rules and characteristics of"one-to-one"and"one-to-many"mapping relationship,makes"one-to-one"conversion tool and converts"one-to-one"land classes in batches.Secondly,combined with remote sensing image,geographical name and address data,geographical monitoring data,internet POI and other reference data,deep learning technology is used to carry out the research on"one-to-many"automatic conversion method of land classes.Finally,a set of semi-automatic third national land survey classification and land-use & sea-use classification conversion process is studied,the accuracy of deep learning automatic conversion is analyzed and evaluated,and the reliability and high accuracy of the proposed method are verified.Research achievement realize the batch conversion of land classification of Guangdong Province's third land survey adjustment to the second class of land-use & sea-use classification,greatly improve the conversion efficiency,and achieves good results.The proposed method and process have strong scientific and operability.
one-to-oneone-to-manyland class conversiondeep learningreference data
NETL
NSTL
万方数据
维普
